صورة الغلاف

Decision making for uncertain data in dynamic environment using hybrid method

Predicting plays a main role in making a good decision in a dynamic environment with real time data, such as weather predictions that normally are heterogeneous, various and vast. The use of heterogeneous of data available causes increasing uncertainty. Vast amount of data from a dynamic environment...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Shahi, Ahmad, Atan, Rodziah, Sulaiman, Md. Nasir
التنسيق: Conference or Workshop Item
اللغة:English
منشور في: IEEE 2009
الوصول للمادة أونلاين:http://psasir.upm.edu.my/id/eprint/20897/1/ID%2020897.pdf
http://psasir.upm.edu.my/id/eprint/20897/
http://ieeexplore.ieee.org/document/5410397/
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id my.upm.eprints.20897
record_format eprints
spelling my.upm.eprints.208972018-04-09T12:08:05Z http://psasir.upm.edu.my/id/eprint/20897/ Decision making for uncertain data in dynamic environment using hybrid method Shahi, Ahmad Atan, Rodziah Sulaiman, Md. Nasir Predicting plays a main role in making a good decision in a dynamic environment with real time data, such as weather predictions that normally are heterogeneous, various and vast. The use of heterogeneous of data available causes increasing uncertainty. Vast amount of data from a dynamic environment will be very uncertain and the prediction of future behavior of such a situation is very hard and if it is possible, the result will not be accurate and may lead to incorrect predictions, Therefore, for the problem statement we propose a new framework that is called hybrid method based on Fuzzy c-mean clustering and Type-2 fuzzy logic system with gradient descent algorithm for training data that would be applicable in a dynamic environment, the hybrid method is able to manage uncertain data such as outliers and noise to get more accurate results and applicable in dynamic environment as well. The results proved the hybrid method is usable and more accurate than the based method (Type-2 FLS). IEEE 2009 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/20897/1/ID%2020897.pdf Shahi, Ahmad and Atan, Rodziah and Sulaiman, Md. Nasir (2009) Decision making for uncertain data in dynamic environment using hybrid method. In: 2009 IEEE International Conference on Control and Automation (ICCA 2009), 9-11 Dec. 2009, Christchurch, New Zealand. . http://ieeexplore.ieee.org/document/5410397/
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Predicting plays a main role in making a good decision in a dynamic environment with real time data, such as weather predictions that normally are heterogeneous, various and vast. The use of heterogeneous of data available causes increasing uncertainty. Vast amount of data from a dynamic environment will be very uncertain and the prediction of future behavior of such a situation is very hard and if it is possible, the result will not be accurate and may lead to incorrect predictions, Therefore, for the problem statement we propose a new framework that is called hybrid method based on Fuzzy c-mean clustering and Type-2 fuzzy logic system with gradient descent algorithm for training data that would be applicable in a dynamic environment, the hybrid method is able to manage uncertain data such as outliers and noise to get more accurate results and applicable in dynamic environment as well. The results proved the hybrid method is usable and more accurate than the based method (Type-2 FLS).
format Conference or Workshop Item
author Shahi, Ahmad
Atan, Rodziah
Sulaiman, Md. Nasir
spellingShingle Shahi, Ahmad
Atan, Rodziah
Sulaiman, Md. Nasir
Decision making for uncertain data in dynamic environment using hybrid method
author_facet Shahi, Ahmad
Atan, Rodziah
Sulaiman, Md. Nasir
author_sort Shahi, Ahmad
title Decision making for uncertain data in dynamic environment using hybrid method
title_short Decision making for uncertain data in dynamic environment using hybrid method
title_full Decision making for uncertain data in dynamic environment using hybrid method
title_fullStr Decision making for uncertain data in dynamic environment using hybrid method
title_full_unstemmed Decision making for uncertain data in dynamic environment using hybrid method
title_sort decision making for uncertain data in dynamic environment using hybrid method
publisher IEEE
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/20897/1/ID%2020897.pdf
http://psasir.upm.edu.my/id/eprint/20897/
http://ieeexplore.ieee.org/document/5410397/
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score 13.251813

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